• Working with confidential and private information • Transferring data from various sources/formats into specified spreadsheets with a high degree of accuracy • Leveraging proprietary software to generate final and renewal quote sheets • Generating Sales Proposal documents through Salesforce and HelloSign • Verifying all data required for quoting is received and, as necessary, communicating the need for additional or missing documentation through Salesforce.

Role Description As part of the Data Sciences & Analytics Team, you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. Your responsibilities include: - Collaborating with partners to identify insights from data - Coming up with modeling requirements - Applying creativity to test hypotheses - Preparing & automating data preparation processes - Building models - Analyzing and visualizing results - Integrating the solution into innovative data products Qualifications - Working knowledge or experience with one or more of the following tools: SQL, R, Python, Scala, Spark or similar programming language - 1-2 years of experience in Linux, shell scripting and/or similar scripting languages for automation - Bachelor’s Degree in a quantitative field (Applied Mathematics, Applied Statistics, Economics, or Computer Science) or related degree programs and 2 years of relevant work experience - At least 1 year of experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, Spark/pySpark - Experience working with large datasets - Experience with Tableau, Microsoft Excel, and Power Point Requirements - Ability to demonstrate critical thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models - Ability to work independently when given detailed specification and instruction - Standout colleague, flexible, and creative - Attention to detail and time management delivering high quality work while meeting deadlines Benefits - Manage the accruals processes - Create and analyze reports to ensure accuracy of data - Manage all invoice processing in P2P and associated reclassing in MRM - Track and manage vendor spend - Manage project code processes

Role Description As the Data Analyst, you will be responsible for conducting periodic, structured reviews of the program's data environment, evaluating data quality, completeness, classification accuracy, retention compliance, and platform hygiene. This role acts as the internal check on the governance process, providing an independent assessment of whether policies are being followed and whether the environment meets applicable compliance standards. The Data Analyst documents findings, identifies risks, and drives remediation through the appropriate channels. In addition to auditing the data, this role serves as a steward of the platforms, assessing whether governance tooling, configurations, and access controls remain fit for purpose. What You'll Be Doing: - Periodic data audits – Plan and execute structured audits of data assets, ingestion pipelines, classification records, metadata completeness, and retention practices; produce clear, evidence-based findings reports. - Platform audits – Audit the governance configuration of the orchestration layer and, in coordination with the CHAOS Data Engineering team, the USMC DCO platforms; assess whether platform controls reflect current policy and identify gaps. - Compliance reporting – Produce compliance documentation in support of program reporting obligations; map audit findings to applicable frameworks (NIST, FISMA, or program-specific requirements) and track remediation status. - Risk identification – Identify data governance risks — including policy gaps, configuration weaknesses, access control failures, and data quality issues — and communicate them to the Governance Lead with appropriate priority. - Findings and remediation tracking – Own the findings log; assign remediation actions to the appropriate team member, track progress, and verify closure; escalate unresolved findings to the Governance Lead. - Audit methodology maintenance – Maintain the audit methodology, checklists, and schedule; ensure audit coverage evolves as the data environment grows or changes. - DCO operationalization – Work directly with SMEs who perform data value evaluations for DCO; translate their assessments into acquisition tasks — identifying sources, standing up connections, and confirming data delivery. - Data Quality at Ingestion – Implement validation and quality checks at the point of ingestion; flag anomalies, schema drift, and delivery failures for the Data Governance Lead's review. - Documentation – Maintain current documentation of all data sources, pipeline configurations, ingestion schedules, and known issues; support onboarding of new sources efficiently. Qualifications - Must have a TS Clearance - Must have a minimum of 5 years of related professional experience - B.S. in Computer Science or, in lieu of a degree, a High School diploma plus 5 years of related experience Requirements - An active Top Secret security clearance is required for this position. Benefits - Medical, dental, and vision insurance - Paid time off - 401(k) plan - Life insurance - Flexible work schedules - Holidays to fit your busy lifestyle Company Description This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Role Description The Software Developer Customer Data Platforms is responsible for designing, configuring, implementing, and optimizing Adobe Experience Platform (AEP)—specifically the Real-Time CDP (RCDP) and Adobe Journey Optimizer (AJO). This role combines technical development, data engineering, and marketing activation expertise, building customer profiles, schemas, data pipelines, decisioning logic, and journey orchestration to enable personalized, data-driven customer experiences. The developer works closely with Marketing, CRM, Data Engineering, Digital, and IT teams to ensure Adobe Experience Cloud solutions are scalable, stable, and fully integrated with enterprise systems. Key Accountabilities - Adobe Experience Platform (AEP) / RCDP Development - Lead configure and maintain AEP schemas, datasets, identities, and data ingestion workflows. - Implement XDM-based modeling for profile and event data. - Build ingestion pipelines using batch APIs, streaming APIs, and source connectors. - Set up profile stitching, identity resolution, and governance policies. - Configure Segmentation Service, including rule-based and audience streaming segmentation. - Ensure compliance with data usage labels, privacy, and consent requirements. - Adobe Journey Optimizer (AJO) Development - Configure and build multichannel journeys, triggers, decision logic, and conditions. - Develop message templates (email, push, in-app, SMS) and dynamic personalization using handlebars or similar languages. - Integrate AJO with AEP profiles, events, and decisioning logic. - Ensure real-time event processing, journey activation, and error handling. - Optimize journey performance, delivery rules, and orchestration logic. - Support Operations and Incident Management - Lead any support activities for MarTech systems, overseeing incident response, root cause analysis, and timely issue resolution. - Manage defects, enhancements, and technical requests in collaboration with the Marketing technology product owners, MarTech Scrum team and Marketing and IT stakeholders. - Monitor platform health and performance; ensure adherence to SLAs, uptime requirements, and operational KPIs. - Coordinate with IT, vendors, and business teams to resolve issues efficiently and ensure continuous improvement. - MarTech Integrations and APIs - Build integrations between Adobe platforms and CRM, web/app analytics, data lakes, and campaign platforms. - Use Adobe APIs (Batch/Streaming/Edge) for ingestion and journey activation. - Configure Edge Network and Customer Journey Analytics (CJA) inputs if applicable. - Work with engineering teams on ETL pipelines, data transformations, and API orchestration. - Technical Documentation and Governance - Produce clear documentation: data flow diagrams, schema dictionaries, journey logic, and integration specs. - Apply Adobe governance standards for data usage labels, privacy, access controls, and taxonomy. - Maintain versioning for schemas, audiences, and journey logic. - Testing, Quality Assurance and Support - Perform unit tests, integration tests, and end-to-end journey/UAT validation. - Troubleshoot ingestion failures, segmentation issues, journey performance problems, and identity stitching concerns. - Support production releases, incident resolution, and continuous platform optimization. Qualifications - Hands-on experience with Adobe Experience Platform (AEP) and Real-Time CDP. - Strong understanding of XDM schemas, profile stitching, datasets, and identity graphs. - Practical experience configuring Adobe Journey Optimizer journeys, events, conditions, templates, and personalization. - Ability to read/write JSON, design data models, and configure ingestion via APIs/SDKs. - Familiarity with Adobe Tags/Launch, AEM, or Adobe Analytics is a strong asset. - Understanding of customer data pipelines, consent management, segmentation, and event-based activation. - Strong problem-solving and analytical mindset. - Ability to translate marketing needs into technical solutions. - Excellent communication and documentation skills. - Collaborative, able to work with cross-functional teams. Requirements - University degree, preferably in Computer Science, Engineering, Math or equivalent work experience. - 3+ years working with Adobe Experience Cloud, preferably AEP/RCDP and/or AJO. - Experience in MarTech engineering, marketing operations, or customer data orchestration. - Experience working in Agile teams (Scrum/Kanban). Benefits - Base Salary and Discretionary Performance Bonus: Total annual cash compensation (base salary plus target bonus) ranges from $101,000 to $118,000, based on experience and qualifications. - RRSP Contribution: After 6 months of employment, we invest in your future with an RRSP contribution—no employee matching required. - Flexible working arrangements - 100% remote, hybrid, and in-office options. - Comprehensive health benefits that start on your first day, with 100% employer-paid premiums, that include up to $5000 annually for mental health services and therapy. - Parental leave top-up to 100% of your salary for a period of 25 weeks. - Up to $650 for home office equipment. - Generous time off policy, including 2 paid days annually to volunteer at a charity of your choice. - Diversity and inclusion programs, including an active network of Employee Resource Groups. - Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation.